smollm2-360m-instruct

LM-STUDIO MLX

llama · 360M · bf16

Marginal

Mar 4, 2026 · Apple M4

qwen3.5:4b

OLLAMA GGUF

qwen35 · 4.7B · Q4_K_M

Excellent

Mar 6, 2026 · AMD RYZEN AI MAX+ 395 w/ Radeon 8060S

Global Score

52 vs 82

Hardware Fit

100 vs 93

Quality Score

32 vs 77

Hardware

smollm2-360m-instr… qwen3.5:4b

MachineMacBook AirAZW GTR Pro

CPUApple M4AMD RYZEN AI MAX+ 395 w/ Radeon 8060S

Cores1032

RAM32 GB125 GB

GPUApple M4Integrated / Apple Silicon

OSmacOS 26.3Ubuntu 24.04.4 LTS

Archarm64x64

Power Modebalancedperformance

Performance

smollm2-360m-instr… qwen3.5:4b

Tokens/sec121.146.8

First chunk106 ms174 ms

TTFT106 ms174 ms

Load timeN/A5.9 s

Memory usage0.7 GB16.2 GB

Memory %2%13%

HW Fit Score Breakdown

smollm2-360m-instruct

Speed

50/50

TTFT

20/20

Memory

30/30

qwen3.5:4b

Speed

43/50

TTFT

20/20

Memory

30/30

Quality

smollm2-360m-instruct

Reasoning

4/20

Coding

3/20

Instruction

12/20

Structured

7/15

Math

2/15

Multilingual

4/10

Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Weak Math: Poor Multilingual: Weak

qwen3.5:4b

Reasoning

15/20

Coding

14/20

Instruction

16/20

Structured

15/15

Math

8/15

Multilingual

9/10

Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

View smollm2-360m-instr… details | View qwen3.5:4b details

Run yours and compare

$ npm install -g metrillm@latest

$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest